Statistical-Machine-Learning-2

Python code for the statistical machine learning course: lectures' examples

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Lecture10_RNN.ipynb		Lecture10_RNN.ipynb
Lecture11_trees.ipynb		Lecture11_trees.ipynb
Lecture13_ ensemble.ipynb		Lecture13_ ensemble.ipynb
Lecture14_SVM.ipynb		Lecture14_SVM.ipynb
Lecture2-SimpleLM.ipynb		Lecture2-SimpleLM.ipynb
Lecture2_multipleLM.ipynb		Lecture2_multipleLM.ipynb
Lecture3_CV.ipynb		Lecture3_CV.ipynb
Lecture3_Dummies.ipynb		Lecture3_Dummies.ipynb
Lecture4_LASSO_Ridge.ipynb		Lecture4_LASSO_Ridge.ipynb
Lecture4_stagewise.ipynb		Lecture4_stagewise.ipynb
Lecture5_PCR_PLS.ipynb		Lecture5_PCR_PLS.ipynb
Lecture6_GAM.ipynb		Lecture6_GAM.ipynb
Lecture7_LDA_QDA_NB.ipynb		Lecture7_LDA_QDA_NB.ipynb
Lecture7_LDA_QDA_NB_KDE.ipynb		Lecture7_LDA_QDA_NB_KDE.ipynb
Lecture7_logisticMultinomialRegression.ipynb		Lecture7_logisticMultinomialRegression.ipynb
Lecture9_NN.ipynb		Lecture9_NN.ipynb
README.md		README.md

Provide feedback